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Developing the FARSEEING taxonomy of technologies: classification and description of technology use (including ICT) in falls prevention studies

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dc.contributor.author Boulton, Elisabeth
dc.contributor.author Hawley-Hague, Helen
dc.contributor.author Vereijken, Beatrix
dc.contributor.author Clifford, Amanda M.
dc.contributor.author Guldemond, Nick
dc.contributor.author Pfeifer, Klaus
dc.contributor.author Hall, Alex
dc.contributor.author Chesani, Federico
dc.contributor.author Mellone, Sabato
dc.contributor.author Bourke, Alan
dc.contributor.author Todd, Chris
dc.date.accessioned 2018-10-15T11:05:38Z
dc.date.available 2018-10-15T11:05:38Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/10344/7228
dc.description peer-reviewed en_US
dc.description.abstract Background: Recent Cochrane reviews on falls and fall prevention have shown that it is possible to prevent falls in older adults living in the community and in care facilities. Technologies aimed at fall detection, assessment, prediction and prevention are emerging, yet there has been no consistency in describing or reporting on interventions using technologies. With the growth of eHealth and data driven interventions, a common language and classification is required.Objective: The FARSEEING Taxonomy of Technologies was developed as a tool for those in the field of biomedical informatics to classify and characterise components of studies and interventions.Methods: The Taxonomy Development Group (TDG) comprised experts from across Europe. Through face-to-face meetings and contributions via email, five domains were developed, modified and agreed: Approach; Base; Components of outcome measures; Descriptors of technologies; and Evaluation. Each domain included sub-domains and categories with accompanying definitions. The classification system was tested against published papers and further amendments undertaken, including development of an online tool. Six papers were classified by the TDG with levels of consensus recorded.Results: Testing the taxonomy with papers highlighted difficulties in definitions across international healthcare systems, together with differences of TDG members' backgrounds. Definitions were clarified and amended accordingly, but some difficulties remained. The taxonomy and manual were large documents leading to a lengthy classification process. The development of the online application enabled a much simpler classification process, as categories and definitions appeared only when relevant. Overall consensus for the classified papers was 70.66%. Consensus scores increased as modifications were made to the taxonomy.Conclusion: The FARSEEING Taxonomy of Technologies presents a common language, which should now be adopted in the field of biomedical informatics. In developing the taxonomy as an online tool, it has become possible to continue to develop and modify the classification system to incorporate new technologies and interventions. (C) 2016 The Authors. Published by Elsevier Inc. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation info:eu-repo/grantAgreement/EC/FP7/288940 en_US
dc.relation.ispartofseries Journal of Biomedical Informatics;61, pp. 132-140
dc.subject Technology en_US
dc.subject ICT en_US
dc.subject falls en_US
dc.subject detection en_US
dc.subject prediction en_US
dc.subject prevention en_US
dc.title Developing the FARSEEING taxonomy of technologies: classification and description of technology use (including ICT) in falls prevention studies en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.date.updated 2018-10-15T10:58:46Z
dc.description.version PUBLISHED
dc.identifier.doi 10.1016/j.jbi.2016.03.017
dc.contributor.sponsor ERC en_US
dc.relation.projectid 288940 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 2650116
dc.internal.copyrightchecked Yes
dc.identifier.journaltitle Journal of biomedical informatics
dc.description.status peer-reviewed


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